[Published online Journal of Computer Chemistry, Japan Vol.16, 167-169, by J-STAGE]
<Title:> クラスターの単純さに注目したデータ クラスタリングの高精度化とそのケモインフォマティクスへの応用
<Author(s):> 天野 晃, 山之内 昭博, 杉本 学, 和田 匡路
<Corresponding author E-Mill:> amano.kou(at)nims.go.jp
<Abstract:> A cluster validity index (CVI) called “simplicity index” (SI) is newly proposed to enhance the accuracy of data clustering in machine learning. This index is derived to emphasize the importance of simplicity in cluster structures. The characteristics ofSI and its advantages over the known methods in the literature are discussed. SI is applied to classification of nucleotide sequences of nitrogen-fixing genes.
<Keywords:> non-hierarchical clustering, clustering validity index
<URL:> https://www.jstage.jst.go.jp/article/jccj/16/5/16_2017-0062/_article/-char/ja/
